You’re not as good at predictions as you think

As we continue our in-depth look into behavioral finance, we will begin by focusing on cognitive errors. Cognitive errors are due to faulty reasoning and could arise from a lack of understanding of proper statistical analysis techniques, information processing mistakes, faulty reasoning, or memory errors. Such errors can often be corrected or mitigated with better training or information. This week, the focus will be on hindsight bias, which is vital to be aware of no matter what a person analyzes. Hindsight bias is a cognitive error identified across all aspects of life, whereby individuals have selective memory of past events, actions, or what was knowable in the past. The tendency to remember the correct view and forget errors can lead to overconfidence and poor decision-making. Check out our other educational materials here.

Hindsight bias, also known as the “I knew it all along” phenomenon, is a psychological phenomenon where people tend to believe, after an event, that they would have predicted or expected the outcome. Essentially, it’s the feeling that you knew something would happen, even if you didn’t actually predict it beforehand.

Hindsight bias occurs in many different areas of life, from sports to politics to investing. For example, after a political election, people may say that they knew the winning candidate would win, even if they had previously been uncertain or predicted a different outcome. Similarly, fans may say that they knew their team would win after a sports game, even if they had been nervous or pessimistic before the game.

There are several reasons why hindsight bias occurs. One is that people remember their past thoughts and feelings in a way that confirms their current beliefs. This means that people may remember thinking that something was more likely than it actually was or that they had more information than they did at the time.

Another reason for hindsight bias is that people tend to focus on the outcome of an event rather than the process that led up to it. This can lead people to believe that the outcome was more predictable than it actually was or that it was the result of a specific action or decision when in reality, there were many factors at play.

These factors can have a significant impact on investing. It can lead investors to believe they could have predicted a particular market trend or stock performance, even when they had little information or data to support their prediction. This overconfidence can lead to poor investment decisions and losses in the long run.

One example of hindsight bias in investing is the dot-com bubble of the late 1990s or the speculative tech bubble in 2021. Many investors were convinced that any company with a “.com” in its name was a surefire investment opportunity or that every new SPAC would be the next Google. However, many of these companies went bankrupt when the bubble burst, and investors lost significant money.

After the bubble burst, many investors claimed that they saw the collapse coming all along, even though there were few warning signs at the time. This hindsight bias led some investors to believe that they were better at predicting market trends than they were, leading to further investment mistakes in the future.

Another example of hindsight bias in investing is the 2008 financial crisis. Before the crisis, many investors were confident that the housing market would continue to grow indefinitely. However, when the market collapsed, many of these same investors claimed that they had known the housing market was overvalued and due for a correction.

This hindsight bias can be dangerous because it can lead investors to believe they can predict market trends better than they actually do. This can lead to overconfidence and taking on more risk than is appropriate for their investment goals and risk tolerance.

To combat hindsight bias in investing, it’s essential to focus on making data-driven investment decisions rather than relying on hunches or intuition. It’s also important to remember that even the most experienced investors can’t predict the future with certainty. Instead, investors should focus on diversification, investing in a mix of different assets to reduce risk and increase the likelihood of long-term success.

Wrapping up, hindsight bias can be a significant challenge for investors. By acknowledging its presence and taking steps to mitigate its effects, investors can make more informed and successful investment decisions. Remembering that investing is a long-term game and that no one can predict the future with certainty can help investors stay on track and achieve their financial goals.